Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
AI Explore ML Facilitator
Tony is conducting statistical research on inverting confidence intervals for systems of multivariate higher-order linear combinations using full factorial orthogonal design of experiments. The application of this project is to develop an algorithm that simultaneously finds solutions within a sensor calibration system that has multiple input factors. Tony also conducted University Research for…
GDSC NTNU Lead '23
GDSC Lead
GDSC NTNU
學生開發者社群社長
文書長
設計長
GDSC
財務長
行銷部長
行銷
人資部長
人資
課程部長
課程
NTNU
課程
課程 / Project Lead
GDSC NTNU
Project Lead
Project Lead
Project Lead
Project Lead
Lecture Speaker
Lecture Speaker
Lecture Speaker
Lecture Speaker
Department of Computer Science and Information Engineering, NTNU
Lecture Speaker
Hewlett Packard Enterprise, National Taiwan Normal University, Google Developer Group Cloud Taipei
Lecture Speaker
Lecture Speaker
Lecture Speaker
Lecture Speaker
Lecture Speaker